Raphaël Lartot

© Dionis Totsila

Bio

Raphaël Lartot is a Research Engineer at Inria Nancy – Grand Est (HUCEBOT team), specializing in the design of active upper-limb exoskeletons for assistive robotics. With a multidisciplinary background in robotics and biomedical engineering, his work combines mechatronic design with human-robot interaction assessment.

Since joining Inria in December 2020, he has developed real-time human motion prediction algorithms in C++ based on ProMPs (Probabilistic Movement Primitives), in collaboration with industrial partners such as Safran Electronics & Defense and Kompaï Robotics. This project aimed at implementing advanced control solutions for internal prototypes. Since October 2024, Raphaël has focused primarily on the mechatronic design of active exoskeletons, integrating mechanical, electronic, and software components, in close collaboration with Raphaël Bousigues, Alexandre Oliveira-Souza, and Anna Bucchieri.

Raphaël holds a Master’s degree in Mechatronics, Robotics and Automation from Télécom Physique Strasbourg and an Engineering degree in Mechatronics from INSA Strasbourg, both obtained in 2020. He also earned a degree in Biomedical Engineering from ISIFC in 2018, as well as a Master’s degree in Microsystems, Instrumentation, and Robotics from the University of Franche-Comté, also completed in 2018.

For further details regarding his previous industrial experiences and projects, please visit his LinkedIn profile.

Research Interests

Prediction
Simulation
Mechanic and electronic design
Embedded systems

In Brief

Project: Developpment of upper limb active and semi-active exoskeletons
Supervisors: Dr. Serena Ivaldi
Financement: Consortium COMS@N

Publications

Publications HAL de Raphaël,Lartot

2022

Conference papers

titre
Simulating Upper Body Exoskeleton on a Digital Human Model
auteur
Alexandre Oliveira Souza, Jean Michenaud, Raphaël Lartot, Jordane Grenier, François Charpillet, Pauline Maurice, Serena Ivaldi
article
JNRH, Jul 2022, Angers, France. ⟨10.21105/joss.00500⟩
Accès au texte intégral et bibtex
https://hal.science/hal-03726138/file/jnrh.pdf BibTex
titre
Torque prediction for active exoskeleton control using ProMPs
auteur
Raphaël Lartot, Jean Michenaud, Alexandre Oliveira Souza, Pauline Maurice, Serena Ivaldi, François Charpillet
article
JNRH 2022 – Journées Nationales de la Robotique Humanoïde, Jul 2022, Angers, France
Accès au texte intégral et bibtex
https://hal.science/hal-03717991/file/R_LARTOT_J_MICHENAUD_Torque_prediction_for_active_exoskeleton_control.pdf BibTex